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林悦己Cheer
2.1K posts
林悦己Cheer
@cheerselflin
🎬AI influencers｜@evolinkai CMO💰Vibe coding 💻 building my career｜ 🚢 follow me to learn & use AI
Katılım Haziran 2025
478 Takip Edilen6.5K Takipçiler
12月 Google map 的api 调用扣了我500，当月收入才120刀
Google Maps Platform@GMapsPlatform
🔑 No credit card required! With the new Maps Demo Key, you can get a working API key with just your Google account and start building in seconds ➡️ goo.gle/3Pu9JB2 We’ve removed the barrier to entry, giving developers direct access to build with select Google Maps Platform products — including Maps JS API, Places UI Kit, and Weather API. Whether you're testing new features or validating technical feasibility, prototype with confidence in a controlled sandbox with automatic usage guardrails. ➡️ Seamlessly works with AI agents to turn prompts into working geospatial prototypes. ➡️ Maps Demo Key is the easiest way to test AI-generated geospatial code without hitting setup blockers. ➡️ Easily transition to a full account to unlock our generous monthly free usage tier, additional APIs, and technical support — all while keeping your project moving. Try it at the link above.
中文
这张图，有点意思
但我说的不是鱼博说的人
Xiangyu 香鱼🐬@XianyuLi
我就想讲一件事 为什么傅总是独立开发？ 傅总又不独立，也不开发啊 生产力工具，emmmm猎豹？生产力？ 感觉有问题。 哈哈哈
中文
codex也正式推出subagent
不污染主线上下文
并行多个subagents跑别的任务
各做各的，一片祥和
OpenAI Developers@OpenAIDevs
Subagents are now available in Codex. You can accelerate your workflow by spinning up specialized agents to: • Keep your main context window clean • Tackle different parts of a task in parallel • Steer individual agents as work unfolds
中文
Introducing MeetClaw 🦞 (aka OpenUtter)
`npx openutter` on your OpenClaw
Let the lobster take over meetings, send live updates and screenshots.
Say goodbye to @meetgranola , @otter_ai
github.com/sumansid/openu…
Suman@0xSuman
🦞taking over meetings
English
没忍住买了新的 Studio Display ，为了更方便的 Vibe Coding
可以用一根线和一个显示器控制我的 MacBook 和 Mac mini。
我才知道可以通过雷电 5 去连接屏幕共享，实现高分辨率下 Mac mini 和 MacBook 的相互控制。
而且还能相互粘贴文本和拖放文件，这个太顶了！
中文
notebooklm-py looks like a very interesting bridge between NotebookLM and Claude Code.
Why this matters:
NotebookLM is excellent for extracting knowledge from books, PDFs, papers, videos, and notes.
Claude Code is, for me, the best agentic tool for running semi-autonomous research pipelines, coding tests, and building backtests.
Put them together and you get a very practical edge:
faster research grounded in verified source material instead of pure LLM improvisation.
English
提升240倍！😱
AI 连续工作1天2夜帮我把一个算法模型准确度提高了240倍，这太震撼了！
前天下午，我用karpathy 大神的 autoresearch 的思路，编写了一个 program.md 文档，在一个GTX4090单卡机器上，让 Claude Code 按照文档要求帮我优化一个AI预测模型。
当天就提升了24%，但是后续一直没有明显进步，直到昨晚，我用 /btw 给他说要大胆一些不要约束在当前思路，可以从底层修改。
结果就在刚刚，完成了240倍的突破，AI 重构了模型架构，直接把 MSE 降低了240倍。
1天两夜，将近48小时的连续运行，自己做了快70个实验，太震撼了
nash_su - e/acc@nash_su
用 karpathy 大神的 autoresearch 的思路，让我一个 side project 的模型训练自己优化起来了 看看一晚上能搞成啥样子 autoresearch 核心其实就是一个 program.md 文件
中文
卧槽，刚刚收到了 Anthropic 的道歉，说我的 Claude 账号是被误封的，给我解封了。
给我 6 个月免费 Claude Max 套餐，我就原谅你！
@claudeai @AnthropicAI
0xAA@0xAA_Science
Claude Max 喜提封号，$200 全退，等于白嫖半个月。 开个新邮箱继续注册！
中文
